Evidence map›Paper›PMID 30219894›Full record

ArticleNucleic acids research2018

Role of ribosome assembly in Escherichia coli ribosomal RNA degradation.

Chaitanya Jain

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Chaitanya JainDepartment of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
University of Miami · US

Funding

Regulation of Messenger RNA by DEAD-box ProteinsR01GM114540 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JAIN, CHAITANYA · 2015 to 2018
$1.2M
NIGMS NIH HHS R01 GM114540
6 · The paper itself

Abstract

DEAD-Box proteins (DBPs) constitute a prominent class of RNA remodeling factors that play a role in virtually all aspects of RNA metabolism. To better define their cellular functions, deletions in the genes encoding each of the Escherichia coli DBPs were combined with mutations in genes encoding different Ribonucleases (RNases). Significantly, double-deletion strains lacking Ribonuclease R (RNase R) and either the DeaD or SrmB DBP were found to display growth defects and an enhanced accumulation of ribosomal RNA (rRNA) fragments. As RNase R is known to play a key role in removing rRNA degradation products, these observations initially suggested that these two DBPs could be directly involved in the same process. However, additional investigations indicated that DeaD and SrmB-dependent rRNA breakdown is caused by delays in ribosome assembly that increase the exposure of nascent RNAs to endonucleolytic cleavage. Consistent with this notion, mutations in factors known to be important for ribosome assembly also resulted in enhanced rRNA breakdown. Additionally, significant levels of rRNA breakdown products could be visualized in growing cells even in the absence of assembly defects. These findings reveal a hitherto unappreciated mechanism of rRNA degradation under conditions of both normal and abnormal ribosome assembly.

Indexed as

RNA StabilityEscherichia coliEscherichia coli ProteinsExoribonucleasesModels, MolecularMutationNucleic Acid ConformationRibonucleasesRibosomesRNA, BacterialRNA, RibosomalRNA, Ribosomal, 16SEscherichia coli ProteinsExoribonucleasesribonuclease RRibonucleasesRNA, BacterialRNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID30219894
PMCPMC6237783
OpenAlexW2892144273

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.